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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:

1. What is a major challenge in aggregating data from multiple sources?
Response:

A) Excessive disk space usage
B) Increased algorithmic complexity
C) Duplicate records and format inconsistencies
D) Overfitting in predictive models

2. Which packages are most commonly used together in a data science workflow for data manipulation and visualization?
(Choose two)

A) flask
B) NumPy
C) Pygame
D) pandas

3. What is a key advantage of using the Parquet file format over CSV in large-scale data pipelines?

A) Parquet stores data in plain text, making it human-readable
B) Parquet files can only be used with Excel
C) Parquet supports schema evolution and columnar storage
D) Parquet offers row-based compression

4. What object-oriented principle allows a child class to reuse and extend the behavior of a parent class in a Python data modeling scenario?

A) Abstraction
B) Inheritance
C) Encapsulation
D) Composition

5. Which best practices help enhance database security when building Python data analysis pipelines?
(Choose two)

A) Limit database user permissions to only necessary operations
B) Construct queries using f-strings for readability
C) Store credentials securely using environment variables
D) Sanitize input by replacing dangerous characters with asterisks

Solutions: